Trabajos analytics engineer en Reino Unido - Page 3

Power BI Engineer London Up to £55,000 This is an opportunity to play a key role in a growing data and analytics function, designing high‑impact reporting solutions that shape how the business makes decisions. If you enjoy building elegant dashboards, creating robust semantic models, and working closely with stakeholders to turn data into insight, this role provides both ownership and strong career development. The Company They are an established organisation investing in modern data capabilities to improve reporting, analytics and business performance. Their data and analytics team partners closely with commercial and operational functions, enabling better visibility into sales, inventory and customer behaviour. With a growing data estate and a clear focus on insight adoption, they are strengthening their reporting foundations and looking for someone who can elevate their Power BI environment. The Role • Design, develop and maintain Power BI dashboards, datasets and reporting solutions that meet business requirements., • Translate stakeholder needs into actionable visual analytics that highlight trends and performance drivers., • Build and manage semantic models, including measures, KPIs and optimised relationships., • Write clear and efficient DAX to support calculations and time‑intelligence logic., • Work with data engineers to source, shape and transform data using Power Query and SQL., • Connect to a range of data sources such as SQL databases, Azure services, Excel and APIs., • Apply governance best practices, including row‑level security, workspace management and performance optimisation., • Communicate insights clearly to non‑technical teams and support the adoption of reporting outputs. Your Skills and Experience • Strong commercial experience developing dashboards and datasets in Power BI Desktop and Service., • Confident writing DAX and applying semantic modelling principles., • Strong SQL capability and experience working with structured data., • Skilled in Power Query for transformation and shaping., • Able to collaborate effectively with technical and non‑technical stakeholders., • Clear communicator who can present insights in an accessible way., • Awareness of the wider Microsoft data ecosystem, including tools such as Microsoft Fabric, is beneficial., • Experience within a retail environment is advantageous but not essential.

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Applications Engineer on a permanent full-time capacity. Purpose of the Role: This role is focused on supporting our pharma clients’ clinical trial projects by implementing and deploying production-grade medical imaging data processing and analysis solutions within our proprietary IXICO data management platform. The job holder is experienced in the medical image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with Analysis Product, Image Analyst, Biomarker Science and Technology teams to ensure that requirement specifications are fully and clearly documented, implemented, and tested at project start-up, meeting project start-up timelines agreed with IXICO’s Project Managers. The role further supports Project Managers with defining and implementing features to fulfil workflow change requests arising during a clinical trial project. As part of the Technology team, the role holder is responsible for supporting internal users with data processing and analysis issue resolution and contributes to continuous process improvement. Essential Duties and Responsibilities: The duties and responsibilities listed below are representative, but not exhaustive of the role. There may be some variation and/or development of these duties and responsibilities without changing the general nature of the role: • Responsible for the configuration and deployments of clinical trials on the IXICO platform, including change controls and corrections to existing studies., • Receive handover of processing and analysis pipelines from Science and Technology and manage these to completion in operational deployments., • Design and develop, validate and deploy allocated image processing and analysis features and workflows to the IXICO platform., • Support Project Managers in defining solutions for projects within an allocated portfolio, creating clear and complete requirements specifications., • Provide second line support for processing and analysis pipelines, maintaining ticketing for IXICO platform support., • Work closely with Research, Technology and Development teams on best practices and process improvements., • Participate in Agile Scrum team and promote continuous improvement., • Create and maintain necessary documentation, compliant with IXICO procedures and quality framework. Qualifications and skills required for the role: Essential • Masters/Postgraduate degree from an accredited educational institution in a technical discipline e.g., Computer Science/Compute Vision/Medical Imaging., • Experience in at least one medical imaging modality (e.g. MRI, PET) and relevant image analysis., • Strong academic background., • Proven experience in programming using scripting languages (Bash/Python)., • Proven experience of Linux/Unix command line., • Understanding and working knowledge of Database concepts and technologies (RDBMS/SQL/PostgreSQL)., • Understanding of Object-Orientated development., • Excellent written and spoken communication skills across all levels of the business – fluent in the English language., • Strong organisational skills and great attention for detail., • Ability to prioritise effectively., • Strong team-player, who is acting in a professional and personable manner., • Highly motivated and driven to improve and develop processes. Desirable • Commercial or Academic experience in the neuroscience domain., • Knowledge of GCP, ISO13485, ISO27001 and/or other similar quality systems., • Understanding of Design Patterns., • Understanding of Agile concepts., • Knowledge of Git and DevOps., • Knowledge of Docker and Kubernetes. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Applications Engineer to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our ___ or contact .

Role Title Principal Forward Deployed Engineer – AI & M&A Location London, United Kingdom (Hybrid) Employment Type Permanent Role Overview We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high‑impact AI‑driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands‑on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production‑grade solutions that directly support transaction strategy, value creation, and post‑merger integration. Key Responsibilities Client & Stakeholder Engagement • Act as a trusted technical advisor to C‑suite, deal teams, and senior enterprise stakeholders during pre‑deal, due diligence, and post‑merger integration phases, • Partner with investment teams, corporate development, and strategy functions to shape AI‑led M&A use cases, • Lead forward deployment of AI, data, and analytics solutions directly within client environments, • Design and implement end‑to‑end solutions covering data ingestion, modeling, orchestration, and deployment, • Rapidly prototype, iterate, and productionise AI‑enabled workflows under tight deal timelines, • Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as:, • Commercial and operational due diligence, • Synergy identification and value leakage analysis, • Technology landscape rationalisation, • Post‑merger performance monitoring and integration tracking, • Provide hands‑on technical leadership across architecture, engineering standards, and best practices, • Guide teams on scalable, secure, and compliant system design, • Influence platform, tooling, and data strategy decisions at an enterprise level Essential • 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles, • Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client‑facing technical role, • Strong track record delivering AI‑driven solutions in real‑world, production environments, • Demonstrated experience supporting M&A, private equity, corporate development, or large‑scale transformation initiatives, • Deep hands‑on expertise with:, • Python and modern data/AI engineering stacks, • Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), • Machine learning and/or Generative AI workflows, • Strong understanding of how technology enables value creation in M&A contexts, • Experience communicating technical trade‑offs, risks, and ROI to executive and investment audiences, • Experience in consulting, private equity–backed environments, or high‑growth technology companies, • Background in data‑intensive platforms, AI products, or decision intelligence systems, • Exposure to regulated industries (e.g. financial services, insurance, healthcare), • A senior, high‑impact role operating at the intersection of technology, AI, and corporate strategy, • Opportunity to influence mission‑critical M&A decisions using cutting‑edge AI and data solutions, • Competitive compensation and benefits package, • Long‑term career growth in a technically ambitious, client‑focused environment, • London‑based role with flexible working arrangements

The Role We’re looking for a hands-on Data Engineer to join a growing data team working across AdTech / MarTech. This role is focused on building and optimising data pipelines and models within Snowflake, working with large-scale marketing and media datasets across multiple platforms. You’ll play a key role in shaping how data is ingested, transformed, and structured for analytics and activation, working with complex, often messy datasets from across the media ecosystem. What You’ll Be Doing • Build and maintain data pipelines into Snowflake using modern ELT practices, • Develop scalable data models and views using dbt, • Ingest and integrate data from multiple marketing platforms (APIs, batch, streaming), • Work with datasets from DSPs, paid social, and search platforms, • Blend and transform data across multiple sources into unified datasets, • Ensure data quality, integrity, and reliability across pipelines, • Troubleshoot and optimise existing pipelines and workflows, • Support downstream use cases including BI dashboards and analytics Must-Have Skills • Strong hands-on experience with Snowflake (building views, tables, data models), • Proven experience using dbt in production environments, • Advanced SQL skills, • Experience with Python for data processing, • Working knowledge of AWS (S3, Glue, Lambda or similar) Domain Experience (Critical) • Background in Media, AdTech, or MarTech environments, • Experience working with data from:, • DSPs (e.g. DV360, The Trade Desk), • Paid Social (Meta, TikTok, LinkedIn Ads), • Google Ads, • Strong understanding of how marketing data flows end-to-end What We’re Looking For • Experience building end-to-end data pipelines, • Strong exposure to API-based data ingestion, • Experience handling large, messy, and fragmented datasets, • Ability to create clean, structured datasets for reporting and analytics, • Comfortable working in a fast-paced, evolving data environment Nice to Have • Experience with Airflow or Dagster, • Working with JSON / semi-structured data, • Familiarity with CI/CD pipelines and Git Why Join • Work with high-volume, real-world marketing data across multiple platforms, • Opportunity to own and shape data models and pipelines, • Exposure to modern data stack (Snowflake + dbt + cloud), • Fast-paced environment with strong growth and learning opportunities

Data Engineer (Palantir, AI & Advanced Analytics) London | Permanent | Hybrid Working Our client is a fast‑growing technology and AI consultancy that helps organisations solve complex data challenges across government and enterprise environments. The firm specialises in delivering Palantir‑led data platforms and decision‑intelligence solutions, supporting clients to unify fragmented data, build operational workflows, and enable informed decision‑making in mission‑critical settings. As a Data Engineer, you will work at the intersection of software engineering, analytics, and AI‑enabled consulting. This is a hands‑on role where you’ll design and build solutions using Palantir technologies, develop scalable data pipelines and workflows, and support advanced analytics and AI use cases deployed in real‑world operations. The team is growing across multiple levels, from Junior through to Senior Manager, offering clear pathways for both technical growth and leadership development. You’ll have the opportunity to: • Design and deliver data‑driven solutions to complex client challenges, • Build and maintain scalable data pipelines and ETL processes, • Engineer data workflows and decision‑support tools on Palantir platforms, • Work on applied AI and machine‑learning use cases, • Deliver Palantir implementation and advisory work across enterprise clients, • Combine software engineering expertise with strategic problem‑solving, • Work directly with clients across government, defence, health, and commercial sectors, • Share knowledge and contribute to capability development across the engineering community Your Responsibilities As a Data Engineer, you will: • Translate complex client problems into effective Palantir‑based data solutions, • Build, configure, and maintain data pipelines and operational workflows, • Integrate, transform, and structure data for analytics and AI consumption, • Apply strong software engineering practices to deliver reliable, maintainable solutions, • Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases, • Collaborate with colleagues on analytics, AI, and machine‑learning initiatives, • Mentor junior engineers and contribute to engineering best practice, • Build trusted client relationships and support long‑term transformation outcomes Key Requirements As a Data Engineer, you should have: • Strong experience with Python, SQL, and TypeScript, • Proven experience working with Palantir technologies (e.g. Foundry, Gotham) in delivery environments, • Solid understanding of data engineering concepts, ETL pipelines, and workflow design, • Experience delivering analytics‑driven or data‑intensive platforms, • Interest in AI, machine learning, and advanced analytics, • Excellent problem‑solving and communication skills, • Ability to work effectively in collaborative, client‑facing environments, • Active UK Government Security Clearance (SC) and the ability to operate on secure client engagements You will gain exposure with: Working as a Data Engineer, you will gain exposure to: • Advanced Palantir implementations across complex organisations, • Decision‑intelligence and operational analytics at enterprise scale, • AI‑enabled data solutions deployed in real‑world, regulated environments, • Client‑facing delivery on mission‑critical programmes, • Engineering‑led consulting and strategic problem‑solving You’ll operate in an environment that combines: • Hands‑on software and data engineering, • Palantir‑centred analytics and AI capability, • Consulting delivery with measurable real‑world impact Why Join? • Specialise in Palantir‑led data and decision‑intelligence delivery, • Work on high‑impact, mission‑critical programmes, • Build deep technical expertise alongside consulting capability, • Progress your career across technical and leadership tracks

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large-scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud environments such as Amazon Web Services or Microsoft Azure depending on the client. The work will range from greenfield builds through to modernisation of existing data estates. 🔧 Key Responsibilities • Design and build scalable data pipelines using Databricks, • Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL), • Support migration and modernisation of legacy data platforms into Databricks, • Improve performance, reliability and cost efficiency across data workloads, • Work closely with Data Engineers, Analysts and Architects across client teams, • Implement data quality, governance and best practices across delivery ✅ What We’re Looking For • Strong hands-on experience with Databricks in a Data Engineering capacity, • Solid experience with Spark (PySpark / Spark SQL), • Proven track record building and optimising data pipelines (ETL/ELT), • Experience working within cloud environments (AWS or Azure), • Strong SQL skills and experience working with large-scale datasets, • Familiarity with orchestration tools such as Airflow or similar, • Good understanding of data modelling and distributed data processing concepts, • Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer • Day Rate: £500–£650 (Outside IR35), • Location: London, • Remote working: 3 days a week onsite, • Initial 6-month contract (strong likelihood of extension), • Exposure to multiple enterprise data transformation programmes, • Opportunity to work across a variety of Databricks implementations within a consultancy environment Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35)

Duration: Contract Workload: Full time hours Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader) Location: Remote (UK‑based) Overview We need a Lead Analytics Engineer to define, scale and future‑proof data practices for a complex Energy Intelligence Platform operating at real‑time scale. Key Responsibilities • Act as the technical architect for scalable, reliable analytics data models built on modern best practices., • Define and enforce analytics engineering standards across the data organisation, including CI/CD, testing and modular design., • Design advanced dimensional data models to support highly complex analytical and operational scenarios., • Own the long‑term vision for data modelling, quality and governance, including GDPR incident response., • Partner closely with Product and senior stakeholders to translate business goals into clear, scalable technical solutions and shape the analytics roadmap., • Champion a strong, data‑driven culture across cross‑functional teams. Must‑Have Skills • Mastery of dimensional data modelling and complex analytics engineering solutions., • Expert‑level SQL with strong hands‑on experience using dbt., • Proven ability to drive adoption of new standards, tools and patterns without direct authority., • Exceptional communication and stakeholder management skills across technical and non‑technical audiences., • Deep, end‑to‑end understanding of the data lifecycle from ingestion through to consumption. Nice‑to‑Have • Ownership of organisation‑wide data modelling or analytics engineering strategy., • Experience designing and implementing data governance frameworks., • Leading rapid proofs of concept for modern data tooling.

LEAD ANALYTICS ENGINEER 6-month initial contract | London based but could be fully remote UK | ASAP Start We’re looking for a Lead Analytics Engineer to join a major CRM migration programme and help shape the future of a growing modern data function. This is not a people management role — we need a true technical leader. Someone who can come in, raise engineering standards, implement best practices, and show the existing team what “good” looks like in a modern data environment. You’ll be joining at a genuinely exciting stage: the business is investing heavily in new technology and modernizing its data platform from the ground up. Rather than inheriting years of technical debt, you’ll have the opportunity to influence architecture, standards, and ways of working from the beginning. Tech Stack: • Snowflake, • dbt, • Python, • AWS, • Power BI Responsibilities: • Designing, developing, and evolving scalable Data Warehouse and ELT solutions, • Driving modern DataOps practices including CI/CD, GitOps, testing, and automation, • Implementing robust, observable, and high-quality data pipelines, • Leading by example within engineering teams and elevating technical standards, • Supporting the move toward cross-functional product squads, • Working closely with governance and analytics teams to build mature, scalable solutions What we’re looking for: • Proven Lead-level Data/Analytics Engineering experience, • Strong expertise with Snowflake, dbt, Python, and AWS, • Deep understanding of software engineering best practices within data environments, • Experience implementing CI/CD pipelines and DataOps principles (GitHub Actions etc.), • Strong experience with Data Observability and Data Quality frameworks, • Excellent communication skills and the ability to inspire confidence across teams, • Experience working in modern, mature data environments Nice to Have: • Exposure to data products, • Experience with data cataloguing/discovery tools, • Strong Agile and continuous improvement mindset This is an ideal opportunity for someone who enjoys building modern data platforms the right way — influencing engineering culture, tooling, and delivery standards at a critical stage of growth. If interested, drop me a message or apply directly.

Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

Principal AI Engineer | AI Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (1 Day Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Principal AI Engineer. This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Principal AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Principal AI Engineer include: • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments, • Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks, • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

Lead Data Engineer – Contract (6 Months) Location: London (2 days per week on-site) Contract Type: 6-month contract (likely to extend) IR35 Status: Inside IR35 Start Date: Immediate Day Rate: £600 - £700 per day About the Role SR2 are partnering with an enterprise client undergoing a large-scale CRM transformation and are seeking an experienced Lead Data Engineer to join the programme. This is a key position where you will play a central role in shaping the data architecture and introducing modern data engineering practices and tooling across the team. You’ll have the opportunity to influence technical direction, mentor team members, and drive best practices in a high-impact project environment. Key Responsibilities • Lead the design and implementation of scalable data solutions for CRM transformation, • Introduce and champion modern data engineering tools and best practices, • Collaborate with cross-functional teams including data, analytics, and engineering, • Provide technical leadership and guidance to the wider data team, • Ensure efficient data modelling, transformation, and pipeline development Essential Skills & Experience • Strong experience with Snowflake, • Hands-on experience with AWS, • Proven capability with DBT (data build tool), • Solid programming skills in Python, • Experience leading or mentoring data engineering teams, • Exposure to large-scale or enterprise data transformation projects If you're a Lead Data Engineer looking to make an impact on a major transformation programme, we’d love to hear from you.

Venesky Brown is currently looking for a Project Controls Manager to join the team at the Sizewell C nuclear new build in Suffolk. This is a long-term contract role based in either the London or Suffolk office with hybrid working available. Travel to Paris will also be required as part of this role. Principal Accountabilities: • Responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of Project Controls activities. Deputy to ProgCM., • Responsible for liaising with the supply chain and the assurance of their Project Controls information, • Co-ordination of Project Controls Functions to ensure the delivery of integrated Project Controls management information., • To support the Programme Controls Manager with progress reporting including schedule updates, forecast to complete, variance identification and opportunities for improvement., • Accountable for the on-time production and quality of month end Performance Reports, • Help ensure SZC is viewed by the Construction Industry as an exemplar in Project Controls through knowledge sharing, networking and delivering presentations to the sector., • Management of senior stakeholders related to the scope being controlled or within SZC. Knowledge, Skills, Qualifications, Experience Essential • All items detailed above in the Job Purpose and accountabilities section., • Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or project management, or related technical field., • A track record of working as a Project Controls Engineer or Manager on large and complex infrastructure projects for a minimum of 15 years., • Experience of working within more than one of the Project Controls Functions of: cost control, estimating, scheduling, change management and risk management., • Detailed understanding of earned value analysis & application to various contract types., • Experience of integrated project controls & change control & drumbeat., • Experience of successfully managing a team in a matrix structure on a project., • Experience with increasing responsibility showing an ability to manage senior stakeholders., • Deliverables focused and an accomplished problem solver, rising to meet any challenge., • Excellent presentation, influencing and facilitation skills., • Exceptional interpersonal and communication skills. Desirable • Active membership of AACE, PMI, APM or similar association with association certifications., • User of a range of reporting and analytics software and project controls systems particularly Power BI., • Understanding of various contract types, in particular the NEC suite and FIDIC., • Experience in the Nuclear sector Job Purpose / Overview SZC Project Controls will serve as a centre of excellence, managing and strategically using delivery performance management information. Our team will enable successful delivery of SZC Project through proactive Project Controls that drives forward-looking solutions to continuously improve performance. As a Project Controls Manager or Engineer, you will be working within either the Project Management Office (PMO) or the Delivery Programmes. The post holder will be ultimately responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of activities that support the Project Controls Execution Plan which ensures we operate and deliver controls within the SZC governance structure, organisation and delivery model. They will ensure Project Controls activities being carried out in an efficient manor in accordance with calendars and deadlines established on SZC. They will be proactive in their approach to driving innovation which will support Project Controls activities on SZC being ‘Digital by Default’. The candidate should have experience of working on a large-scale project environment and they will have experience of working in multiple Project Controls functions and understand how integrated Project Controls management information is achieved. This knowledge and their previous experience on major programmes and projects will enable them to assure and challenge outputs produced by the various project controls functions. They will be able to write and edit reporting narrative, so that reports all have a consistent style, and the narrative answers the ‘So What?’ question for Managers and Leadership. They will have experience of working with the supply chain, multi discipline teams and senior leadership to ensure that Project Controls activities are carried out effectively. They will also be comfortable to run month end Performance Reviews for their scope or cover the month end reviews for the Programme Controls Managers when required. They should be able to demonstrate their ability to handle multiple Project Controls activities, tasks or one of exercises that might be asked of them and ensure they can prioritize these for successful delivery. Vacancy Overview: Are you looking for a career which is rewarding, at the cutting edge of project development and where you can really make a difference? Come and join our expanding Sizewell C (SZC) team and work on one of the most exciting and largest megaprojects in the UK, whilst being at the forefront of the UK’s climate change agenda and energy policy. Following on from the success of Hinkley Point C (HPC), the SZC Project is a nuclear new build project in Suffolk, which has obtained planning approval and Government financing support. The project has started construction and is now seeking private investment. When completed, it will provide dependable electricity to 6 million homes for 60 years, which along with renewables, will support Britain to achieve Net Zero by 2050.

Data Engineer – Azure or AWS with Databricks - London (Hybrid) - £75,000 + benefits We’re partnering with a high-performing organisation that continues to invest heavily in its data capability. Over the last 24 months, the business has achieved 33% growth in its data team, reinforcing data as a core driver of its long-term strategy. As part of this expansion, they’re hiring a Data Engineer to help design, build and optimise modern cloud data platforms. This role is open to engineers with experience in Azure or AWS, provided they bring strong hands-on expertise with Databricks. You’ll join a collaborative, forward-thinking environment where data engineering best practice, scalability and platform reliability are front and centre. What You’ll Be Doing • Designing and building end-to-end data pipelines using Databricks on Azure or AWS, • Developing modern lakehouse architectures using:, • Databricks (Spark, SQL, Delta Lake), • Azure Data Lake Storage or Amazon S3, • Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling, • Implementing Bronze / Silver / Gold data layers, • Embedding data quality, validation and monitoring within pipelines, • Supporting analytics and BI teams with trusted, well-structured datasets, • Contributing to CI/CD pipelines and version-controlled deployments, • Working closely with stakeholders in a consultative, delivery-focused environment What We’re Looking For • 5+ years’ experience in Data Engineering roles, • Strong experience working with Azure or AWS cloud platforms, • Commercial, hands-on experience using Databricks in production, • Proven capability across:, • PySpark / Python / SQL, • Cloud data storage (ADLS or S3), • ETL / ELT pipeline development, • Solid understanding of data architecture, modelling, and governance, • Experience building scalable, reliable pipelines in enterprise environments Nice to Have • Background in high-growth or scaling data teams, • Experience in financial services or large, global data estates, • Azure, AWS, or Databricks certifications, • Exposure to platform governance, lineage, or standardisation initiatives Why Apply? • Join a company that has delivered 33% growth in its data team, • Work on modern Databricks-led platforms, • Opportunity to influence architecture and engineering standards, • Clear progression within a growing, well-funded data function, • Hybrid working and a strong, collaborative engineering culture Interested? Apply now or get in touch to learn more about the role!

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

COSTAR GROUP - SENIOR SALES ENGINEER, MATTERPORT - LONDON OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. ABOUT MATTERPORT Matterport, part of CoStar Group, is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 177 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing. Learn more about ___. DESCRIPTION We are seeking a Senior Sales Engineer to support the accelerating global demand for Matterport’s platform and solutions. This role represents a senior level of individual technical leadership within the Sales Engineering organization and is designed for a deeply experienced technical sales professional who operates as a strategic advisor, internal authority, and external thought leader. This position owns the most complex and business-critical technical engagements, shapes how Matterport sells and deploys solutions at scale, and materially influences product direction, go-to-market strategy, and enterprise customer success. The role reports to the regional Sales Engineering leader and operates with a high degree of autonomy and accountability across regions, accounts, and teams. RESPONSIBILITIES Enterprise & Strategic Technical Leadership • Serve as the primary technical authority for complex, high-value, and strategically significant sales opportunities, including channel, enterprise and global accounts., • Advise executive-level customer stakeholders on architectural decisions, security posture, integrations, and long-term platform strategy., • Act as a trusted technical advisor to internal sales leadership on deal strategy, risk assessment, and solution positioning., • Define and lead advanced solution architectures, custom integrations, and proof-of-concept engagements that address ambiguous, multi-system customer requirements., • Set technical standards for demonstrations, pilots, and solution validation efforts across the Sales Engineering organization., • Own and guide resolution of non-standard, high-risk technical challenges with accountability for outcomes that impact revenue and customer trust., • Organizational Thought Leadership, • Establish best practices, methodologies, and technical frameworks used by the broader Sales Engineering team., • Influence company-wide technical selling strategy, including how Matterport positions security, integrations, data workflows, and platform extensibility., • Serve as a recognized internal subject matter expert across 3D capture, spatial data workflows, cloud architecture, and enterprise integrations. Cross-Functional Influence • Provide authoritative field insight to Product Management, Product Marketing, Security, and R&D to shape roadmap prioritization, enterprise readiness, and competitive differentiation., • Translate customer and partner needs into actionable product and platform recommendations with clear business rationale., • Contribute to broader organizational initiatives that require deep technical and commercial judgment. Enablement & Technical Mentorship • Design and deliver advanced technical training programs for Sales Engineers, Account Executives, and strategic partners., • Mentor junior and mid-level Sales Engineers, raising the overall technical bar of the organization., • Guide onboarding and development frameworks to support scale, consistency, and technical excellence. Security & Risk Leadership • Lead enterprise-level security, privacy, and compliance discussions with customers and partners., • Act as a technical escalation point for security-related inquiries and solution reviews., • Partner with internal security and legal stakeholders to align customer requirements with Matterport’s policies and capabilities., • External Representation, • Represent Matterport as a technical thought leader at industry events, executive briefings, webinars, and conferences., • Engage with strategic partners and ecosystem vendors to define joint solution approaches and integration strategies. Leadership Continuity • Provide leadership coverage and decision-making support during manager absences., • May direct or coordinate the activities of other Sales Engineers on complex initiatives without formal people-management responsibility. QUALIFICATIONS • Bachelor’s degree or equivalent experience, • In-depth experience supporting B2B SaaS solutions in a pre-sales or technical consulting capacity, with demonstrated enterprise-level impact., • Proven history of long-term commitment and progression within prior organizations., • Exceptional executive-level communication skills, with the ability to influence technical and non-technical stakeholders across functions and seniority levels., • Experience with APIs, SDKs, and custom integrations, including hands-on prototyping using technologies such as JavaScript and GraphQL., • Advanced understanding of 3D data types (models, point clouds, imagery) and the workflows customers use to operationalize spatial data., • Strong knowledge of cloud platforms, security architecture, and authentication technologies (e.g., AWS, SAML, OAuth)., • Working understanding of machine learning and AI concepts as applied to data-driven products., • Willingness and ability to travel up to 50% as business needs require., • In addition to requirement for English, either French or German is highly preferred, Spanish or Italian would also be advantageous. Preferred Qualifications • Extensive expertise in reality capture technologies and the competitive landscape., • Deep knowledge of the Matterport platform, ecosystem integrations, and partner offerings., • Advanced familiarity with 3D modelling, visualization, and construction/engineering platforms such as Autodesk, SketchUp, Procore, PlanGrid, Unity, Unreal Engine, or similar., • Experience shaping technical strategy for large partners or enterprise customers., • Recognized externally or internally as a subject matter expert in spatial data or related technologies. WHAT’S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in the Blue Fin or one of our key UK-wide hubs. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more! At CoStar, we recognise the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs. #Matterport #LI-ST3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit ___. Full Stack Software Engineer - Data Observability & Operational Tooling Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform. This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business. What you'll be doing • Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces, • Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences, • Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms, • Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces, • Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support, • Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability What you bring to the table • Experience building and scaling web applications, with particular strength in front-end development, • Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures, • Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations, • Ability to work independently and drive projects end-to-end with minimal oversight, • Strong coding ability and a track record of shipping high-quality software, • Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders, • Passionate problem-solving mindset and a strong sense of ownership. Desired qualifications • Experience with TypeScript, • Experience with Svelte, or equivalent modern component framework (React, Vue), • Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar), • Experience with cloud platforms such as AWS, • Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure, • Experience with SQL and comfort working with analytical data sets, • Experience with Python is a plus, given the data team's tooling ecosystem, • Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

Data Engineer \n\nFully Remote \n\n£50,000 - £65,000 + Car Allowance - £5,200 + 5% Bonus \n\n6 Month initial FTC with view to extend \n\nBrief\n\nData Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team.\n\nThe successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows.\n\nFinally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting.\n\nBenefits\n\nSalary: £50,000 - £65,000 per annum\n25 day's holiday\nCompany car / Allowance\nVariable annual bonus based 5-15%\nPension Plan\nCareer Progression \n\nWhat the role entails:\n\nSome of the main duties of the Data Engineer will include:\n\nDevelop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise.\nDesign and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making.\nLead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives.\nDemonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes.\nEnsure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. \n\nWhat experience you need to be the successful Data Engineer:\n\nProficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration.\nStrong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows.\nExperience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines.\nDeep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards.\nData pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making.\nCode development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production.\nEffective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes.\nDeep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities.\nExperience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy.\nData-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. \n\nThis really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!\n\nServices advertised by Gold Group are those of an Agency and/or an Employment Business.\nWe will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

The opportunity We're hiring a Lead Engineer to run the engineering function on our largest hospitality client — a household UK brand operating across 2,700+ venues — and to manage a team of six Data Engineers working across Databricks and Treasure Data. This is a senior technical leadership role. You will own the engineering roadmap across both platforms, set the bar for how we design and ship, and be the person clients trust when things get hard. You will also shape the standards, tooling and career development for one of our most critical pods. The work speaks for itself: a Single Customer View built on Treasure Data, advanced analytics and ML in Databricks, and real-time omnichannel activation through Braze. The programme consistently beats its commercial targets — YoY by an average of over 34% across the last two years. Your job is to keep it doing that, and to find the next gear. What you'll do • Lead the engineering roadmap across Databricks and Treasure Data for our largest hospitality client — setting technical direction, quality bars and delivery cadence., • Manage, coach and grow a team of six Data Engineers — unblock daily work, run 1:1s, own career development, and set standards for code review, testing and on-call., • Shape solution design and effort scoping on new workstreams — partnering with Solution Architects, Strategic Services and Client Delivery to translate business problems into technical proposals clients can buy into., • Act as the senior technical voice in client conversations — presenting architecture, defending trade-offs, and telling clients what needs to happen, not just what they want to hear., • Drive DevOps and engineering excellence — CI/CD, infrastructure-as-code, observability, environment management and secure, repeatable deployments across both platforms., • Partner cross-pod with Customer Activation, Data Science & Analytics, Marketing Automation and Full Stack Development — because we win as One Silverbullet, not as siloed teams., • Own technical quality and production stability — you're the last line of defence before something goes wrong, and the first person we look to when it does. Your skills and experience • Strong, hands-on SQL expertise — including deep experience with CDPs that are SQL-native. Treasure Data is a significant advantage; exposure to mParticle, Tealium, Segment or Salesforce CDP will translate., • Production-grade PySpark / Databricks experience — building scalable data pipelines, optimising performance, and operating Delta Lake / Lakehouse architectures in a real production environment., • Solid DevOps craft — CI/CD pipelines, Git-based workflows, infrastructure-as-code (Terraform or similar), monitoring, alerting, and calm handling of production incidents., • Proven experience leading a data engineering team — not just senior IC work. You've managed people, set standards, and grown engineers into stronger engineers., • A consulting mindset — comfortable client-facing, able to translate technical concepts for non-technical stakeholders, and confident running a workshop or defending a design in a steering committee., • Solid solution design and effort scoping — you can take a loose business problem, shape it into an architecture, break it into deliverables, and put a credible number against it. Nice to have • Experience with MarTech / CRM activation platforms — Braze, Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp., • Background in consumer-facing sectors — hospitality, travel, retail, CPG or media., • Cloud platform certifications — AWS preferred; Azure or GCP equally welcome., • Familiarity with GDPR, consent management and data governance in a marketing context., • Exposure to AI / ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning. Why this role matters This client is one of the most meaningful engagements in our portfolio — and the work has a direct line to our 2026 company objectives around revenue growth, gross margin and employee retention. The data and MarTech infrastructure you lead will profile, model and engage millions of customers in near real-time. You will join a business that is trading profitably for the first time in its history, in a pod that is central to that story, reporting to the Head of Technology and Product with the backing of One Silverbullet — not a fragmented capability team. If you want to build the Intelligence Layer for one of the UK's most loved hospitality brands — and grow a team of engineers while you do it — we'd like to talk. TEAM 6 Data Engineers REPORTS TO Head of Technology & Product About Silverbullet Silverbullet is a specialist boutique partner at the intersection of data, technology and customer marketing activation. We are not a full-service agency. We are not a technology vendor. We are the team brands and partners bring in when the gap between ambition and production needs closing. We work with some of the world's most recognisable brands — Heineken, Mars, Sony, easyJet, ITV and Flight Centre among them — building the data infrastructure, MarTech and CRM systems that power intelligent customer experiences. We don't sell outputs. We sell outcomes. And when we walk in, we tell clients what needs to happen — not what makes the most impressive slide. “We win as One Silverbullet, or not at all. Our value multiplies every time the data, tech, CRM and activation teams refer and build together.”

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus Join Our Data & Analytics Team: Transforming Data into Our Superpower! Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers and driving school! If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues and shareholders. #LI-Hybrid This is the job At The AA, our purpose is to create confidence for drivers now and for the future. Data plays a critical role in delivering that purpose, and we are investing heavily in a modern, Databricks-centric data platform to unlock the full value of our connected car and insurance data. This role is for an experienced Databricks Data Engineer. You will be working day-to-day designing, building and operating production-grade Databricks Lakehouse solutions, including structured streaming pipelines, Unity Catalog governance, and Spark-based data engineering at scale. This is not a role for someone who has “touched” Databricks occasionally or supported it at the edges. We are looking for someone who has built, owned and evolved Databricks solutions, and who can confidently articulate design decisions, trade-offs, and best practice. If Databricks is central to how you work and you can demonstrate this naturally, we want to hear from you. What will I be doing? • Designing, building and operating production-grade Databricks Lakehouse solutions, including structured streaming pipelines using Python and PySpark, • Owning and evolving Unity Catalog–based governance, ensuring secure, discoverable and well-managed data assets, • Developing and maintaining event-driven data pipelines, integrating closely with backend engineering teams, • Implementing and supporting CI/CD pipelines in Azure DevOps to enable reliable, automated Databricks deployments, • Creating high-quality, analytics-ready datasets that deliver actionable business insight at scale Essential experience • Significant, hands-on experience with Azure Databricks in a production, enterprise-scale environment, • Proven experience building Spark / Databricks pipelines using Python and PySpark, • Strong experience with structured streaming and event-driven architectures, • Practical experience implementing and operating Unity Catalog, • Solid understanding of Lakehouse design principles, including dimensional and analytical modelling, • Experience building and maintaining CI/CD pipelines, ideally using Azure DevOps, • Confidence working with large-scale data, performance tuning, and troubleshooting complex pipelines You have: • Hands-on experience configuring and managing Databricks environments, including cluster setup, dependency management, and package installation, • Designed and built Databricks pipelines end-to-end, • Made architectural decisions within Databricks environments, • Worked with Spark internals, optimisation techniques and cluster configuration Interview Process Candidates will be assessed on their hands-on technical ability in Azure Databricks from the first stage of the interview process. You should be comfortable discussing and demonstrating how you have built, configured, optimised, and troubleshot Databricks pipelines in a production environment. This will include discussion of real-world implementations, debugging approaches, and Databricks environment configuration (clusters, dependencies, and packages). Additional information We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including: • 25 days annual leave plus bank holidays + holiday buying scheme, • Worksave pension scheme with up to 7% employer contribution, • Free AA breakdown membership from Day 1 plus 50% discount for family and friends, • Discounts on AA products including car and home insurance, • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more, • Company funded life assurance, • Diverse learning and development opportunities to support you to progress in your career We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change. #LI-HH

Analytics Engineer, BI Engineer, or similar. Analytics Engineer to join their Insights Team in Holborn, London. We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business.

Senior Engineer Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re on a mission to change the way teams experience food at work. We connect exceptional independent makers with companies that want better lunches, better events, and a better workplace culture built around food. As a Senior Software Engineer, you’ll play a key role in that journey. You won’t just be maintaining systems - you’ll help build and launch the products that power the platform, from ordering and logistics to payments and internal tools. Your work will directly shape how our customers order, how our makers operate, and how the business grows. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, thoughtful solutions. We’re a small, ambitious team that cares deeply about what we’re building, working together to grow &Dine as the challenger in the market. What you’ll do • Lead development across key product areas from concept to production, • Build front-end features using modern JS frameworks (Vue/Nuxt, React, or similar), • Design and maintain scalable Node.js APIs and services with SQL databases, • Mentor junior engineers through reviews and technical guidance, • Collaborate with product and operations to deliver practical solutions, • Improve system performance, reliability, and developer workflows Front-end • JavaScript / TypeScript, • Vue / Nuxt or similar, • REST API integration, • Solid CSS / SCSS / SASS, • State management and component-based development, • Unit/end-to-end Testing and Git workflows, • Experience with Analytics tools like Mixpanel Back-end • Node.js services and REST APIs, • PostgreSQL / MySQL and database design, • ORMs such as Sequelize, • Business logic, including payments, workflows, and permissions Infrastructure • CI/CD pipelines (GitHub Actions or similar), • Cloud platforms such as AWS, • Monitoring, logging, and production reliability, • AWS Amplify or similar Benefits • Share options, • £250 learning budget, • £500 referral bonus, • Birthday day off, • Team socials, • Work abroad for one week each year

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £525 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Contact: Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

SMART BUILDINGS BMS ENGINEER (INTEGRATION / IoT FOCUS) £40,000–£80,000 + expenses | Remote Are you a BMS Engineer who enjoys working at the intersection of building systems, data, and modern technology? Do you want to go beyond traditional controls work and play a key role in connecting buildings to the cloud, enabling smarter, more efficient energy performance? This a fast-growing energy-tech business looking for a Smart Buildings BMS Engineer with strong integration and IT awareness to deliver end-to-end projects across commercial buildings. THE ROLE • Carry out site surveys, scope upgrades, and plan smart building integrations, • Install and configure BMS hardware: controllers, sensors, field devices, and panels, • Integrate HVAC, metering, and building systems using BACnet, Modbus, KNX, MQTT, • Connect building systems to cloud platforms via APIs, gateways, and IP networks, • Commission systems including Niagara 4, Trend IQVision, Siemens PX, Distech, • Troubleshoot data flow, connectivity, and system performance issues, • Structure and validate building data to support analytics and optimisation, • Work independently across multiple sites, delivering high-quality technical outcomes WHY JOIN? • Work at the forefront of smart buildings, IoT, and energy optimisation, • Combine hands-on engineering with modern data and integration work, • End-to-end ownership — from survey through to live system performance, • Exposure to cloud platforms, APIs, and advanced building analytics, • Join a high-growth, forward-thinking team shaping the future of building tech, • Clear progression into technical lead / integration specialist roles THE PROFILE • Strong BMS background (installation, commissioning, or integration), • Experience with Tridium Niagara, Trend, Siemens, Distech or similar, • Solid understanding of building protocols (BACnet, Modbus, KNX), • Comfortable working with IP networks, gateways, and system connectivity, • Exposure to MQTT, APIs, JSON, or cloud platforms (AWS or similar) highly desirable, • Electrical background beneficial (NVQ Level 3 / 18th Edition preferred, not essential), • Proactive, organised, and comfortable working independently in a fast-moving environment, • Willing to travel across the UK as required PACKAGE £40,000–£80,000 DOE Remote with UK-wide travel | Full-time or contract Immediate / flexible start Expenses covered

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

Senior Software Engineer | React, Python, AWS | Real-time Data Intelligence Platform Full stack (flexible on lean) Location: Hybrid (London, Oxford or Cambridge) We’re working with an early stage technology company building a production grade data platform for real time systems and analytics at scale. While the business has roots in autonomous systems, the core value sits firmly in the software platform that turns live data into usable insight. As customer adoption grows, the team is expanding its product engineering capability and hiring Software Engineers to help build and evolve customer facing features on top of the core platform. This is a role for senior full stack Software Engineer who enjoy working across the stack in early stage environments. You will be building real features used by customers, helping shape how new capabilities are developed, and feeding improvements back into the central platform as the product matures. The business is well funded, gaining strong client traction, and building toward a significant scale up phase over the next 12 to 24 months. What you’ll get • Hands on ownership of end to end product features used by real customers, • Exposure to a data intensive, real time platform, • The chance to shape how new features are built and integrated into the core system, • Close collaboration with architecture, cloud, and platform teams, • A high ownership engineering environment with room to grow What you’ll be doing • Building full stack features across React front end and Python backend services, • Developing customer focused functionality on top of a shared data platform, • Working with AWS infrastructure to deploy and support new capabilities, • Collaborating with platform engineers to fold successful features back into the core product, • Contributing to code structure, patterns, and engineering standards as the system evolves, • Supporting debugging, performance improvements, and production reliability, • Working in small teams where engineers own features from design through delivery This is not a narrowly siloed role. You will work across front end, backend, and cloud, with flexibility to lean into your strengths while developing breadth across the stack. What we’re looking for • 5+ years working as a Software Engineer building production ready systems, • Strong fundamentals across the front and back end - Must have either React or Python (ideally both), • Cloud experience (ideally AWS), • Comfort working in early stage environments with ambiguity and high ownership, • A production first mindset focused on reliability, clarity, and maintainability Engineers may lean slightly frontend or backend, but should be comfortable operating across the stack and collaborating closely with other specialists. The company plans to hire 2-3 so would look to balance the indvidual leaning across the hires. Nice to haves • Experience building customer facing SaaS platforms, • Exposure to data heavy or real time systems, • Familiarity with modern frontend patterns and API driven architectures Interested? If you’re looking for a Software Engineer role with real ownership and long term impact, I’d be happy to share more context. Salary: £70,000 to £80,000 plus benefits Important: No sponsorship available Applicants must already be in the UK to apply Jamie Wilkins | Founder E L W This email and any attachments are confidential and intended solely for the named recipient(s) and may contain privileged information • If you are not the intended recipient, please delete without copying or sharing, and notify us immediately. Unauthorised use or disclosure is prohibited • Where this message includes an introduction (as defined in our Terms of Business), the recipient shall be deemed the Client and our standard Terms, available here , shall apply unless otherwise agreed in writing. This email does not constitute a binding agreement unless expressly stated • To view our Privacy Policy please visit here - Senzo Group Limited – Registered Office: 6 The Square, Martlesham Heath, Ipswich, IP5 3SL, United Kingdom – Registered in England & Wales, Company No: 16466151

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Senior Platform Engineer | DV Cleared | MOD Programmes SR2 are partnering with a major technology consultancy supporting critical MOD and defence transformation programmes across highly secure environments. This is a hands-on platform engineering opportunity working across cloud and on-prem environments, helping deliver large-scale MOD platform and data capabilities. • Location: London (West London MOD site near Hounslow) or Corsham MOD site, • Travel: Expected onsite presence 4-5 days per week-, • Salary:Corsham / Outside London: £70,000-£75,000+, • London: £75,000-£85,000+, • Additional: £500/month DV bonus, • Clearance: Active MOD-held DV required Key environment and project themes include: • AWS cloud platform engineering, • On-prem to AWS migration programmes, • CI/CD pipeline engineering, • Kubernetes and container platforms, • Prometheus & Grafana monitoring, • Infrastructure automation and scripting, • Secure MOD cloud environments, • Defence Data Analytics Platform (DDAP) related work The team are looking for engineers who are genuinely platform-focused rather than traditional infrastructure engineers. You’ll ideally bring: • Strong Platform or DevOps engineering background, • AWS experience (Azure acceptable if AWS exposure exists), • CI/CD pipeline build experience, • Kubernetes, observability and automation exposure, • Strong stakeholder communication skills, • Mentorship or informal leadership experience, • Experience within MOD, defence or national security environments This is a strong long-term opportunity within a technology-first consultancy investing heavily into defence, offering clear progression into technical leadership, architecture or management pathways over time.

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

AI Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading AI-driven SaaS companies, and a standout performer within the hospitality technology space, and is now doubling down on embedding AI across its product and engineering ecosystem. The Opportunity You’ll join a 45+ person engineering team and play a key role in shaping how AI, LLMs and machine learning are integrated into a live, scaled platform. This is not a research role. It’s a hands-on position where you’ll build, ship and see your work used immediately by a global customer base. What You’ll Be Doing • Designing and delivering AI-powered product features and workflows, • Working with LLMs in production, including prompt engineering and optimisation, • Building AI agents and advanced workflows, • Developing and integrating MCP services and API-driven AI interactions, • Embedding AI into core product functionality, integrations and internal systems, • Identifying and delivering practical AI use cases at scale What They’re Looking For • Hands-on experience with LLMs in real-world applications, • Experience with either:, • AI agents, MCP services and advanced workflows, or, • ML / deep learning models (e.g. pricing, analytics), • Strong engineering capability, ideally with Python and AWS, • Experience integrating AI into existing products or platforms, • A practical, delivery-focused mindset Why This Role • Work on a global, scaled SaaS platform with real users, • Be part of a high-performing 45+ engineering team, • Shape how AI is embedded into a live product at scale, • Remote-first, flexible working If you’re an AI Engineer who wants to build meaningful AI capability in a real product environment, go ahead and apply.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

Senior Data Engineer (12M FTC) | Investment Data Transformation Own the data engineering capability for a world-class investment platform We’re hiring a Senior Data Engineer to join a high-performing Investment Data & Operations team with one of our client organisations, delivering a major data transformation programme across a complex, multi-asset portfolio. You’ll act as the go-to technical lead for investment data, owning pipeline architecture, driving automation across operations, and ensuring data is reliable, scalable, and decision-ready. 🔧 What you’ll be doing • Own the end-to-end data pipeline ecosystem (APIs, integrations, data flows across multiple platforms), • Define and implement data architecture, standards, and governance frameworks, • Build and scale robust, production-grade pipelines supporting reporting & analytics, • Drive automation across investment operations — removing manual, spreadsheet-heavy processes, • Develop dashboards, reconciliation tools, and operational intelligence solutions, • Partner with data, tech, and investment teams to deliver real business impact 🎯 What we’re looking for • 5–10+ years’ experience in data engineering within asset management / financial services, • Strong Python & SQL — you’ve built and owned pipelines in production, • Proven experience designing data architecture and integration frameworks, • Track record of automating operational workflows end-to-end, • Strong understanding of investment data (portfolios, transactions, valuations, performance), • Comfortable leading from the front — owning delivery, influencing stakeholders, and setting direction 💡 Why this role? • High ownership — you’ll define how data engineering is done in the investment function, • Transformation-focused — real opportunity to modernise systems and workflows, • Senior visibility — work directly with investment, operations, and tech leadership 💰 Package • Competitive day rate / salary range (depending on experience), • 12-month fixed-term contract with high potential for extension, • Opportunity to work on a major data transformation programme within a highly regarded investment environment If you’re a hands-on senior engineer who enjoys building, owning, and transforming — this is a standout opportunity.

Lead Data Engineer – Contract (6 Months) Location: London (2 days per week on-site) Contract Type: 6-month contract (likely to extend) IR35 Status: Inside IR35 Start Date: Immediate Day Rate: £600 - £700 per day About the Role SR2 are partnering with an enterprise client undergoing a large-scale CRM transformation and are seeking an experienced Lead Data Engineer to join the programme. This is a key position where you will play a central role in shaping the data architecture and introducing modern data engineering practices and tooling across the team. You’ll have the opportunity to influence technical direction, mentor team members, and drive best practices in a high-impact project environment. Key Responsibilities • Lead the design and implementation of scalable data solutions for CRM transformation, • Introduce and champion modern data engineering tools and best practices, • Collaborate with cross-functional teams including data, analytics, and engineering, • Provide technical leadership and guidance to the wider data team, • Ensure efficient data modelling, transformation, and pipeline development Essential Skills & Experience • Strong experience with Snowflake, • Hands-on experience with AWS, • Proven capability with DBT (data build tool), • Solid programming skills in Python, • Experience leading or mentoring data engineering teams, • Exposure to large-scale or enterprise data transformation projects If you're a Lead Data Engineer looking to make an impact on a major transformation programme, we’d love to hear from you.

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

Full Stack Engineer / Developer (TypeScript Python) London / WFH to £90k Do you enjoy working across the full tech stack, want to be able to see the impact of what you do? You could be progressing your career at a growing sports data analytics company that are experiencing massive success in the US

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems on AWS, supporting organisations across multiple industries. Role Overview As an AI Engineer, you will design, develop and deploy production-ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI productsfrom proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks, youll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities • Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models), • Build and deploy RAG systems using vector databases and semantic search, • Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar, • Create ef...